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Why this is needed: Users need practical examples to understand how to use the new vector storage model isolation feature. Without examples, the automatic migration and multi-model coexistence patterns may not be clear to developers implementing this feature. What this adds: - Comprehensive demo covering three key scenarios: 1. Creating new workspace with explicit model name 2. Automatic migration from legacy format (without model_name) 3. Multiple embedding models coexisting safely - Detailed inline comments explaining each scenario - Expected collection/table naming patterns - Verification steps for each scenario Impact: - Provides clear guidance for users upgrading to model isolation - Demonstrates best practices for specifying model_name - Shows how to verify successful migrations - Reduces support burden by answering common questions upfront Testing: Example code includes complete async/await patterns and can be run directly after configuring OpenAI API credentials. Each scenario is self-contained with explanatory output. Related commits: - |
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| .. | ||
| unofficial-sample | ||
| generate_query.py | ||
| graph_visual_with_html.py | ||
| graph_visual_with_neo4j.py | ||
| insert_custom_kg.py | ||
| lightrag_azure_openai_demo.py | ||
| lightrag_ollama_demo.py | ||
| lightrag_openai_compatible_demo.py | ||
| lightrag_openai_demo.py | ||
| lightrag_openai_mongodb_graph_demo.py | ||
| modalprocessors_example.py | ||
| multi_model_demo.py | ||
| raganything_example.py | ||
| rerank_example.py | ||